Google Cloud Deep Learning VM Image Reviews & Product Details

I like how easy it is to set up and start using. The pre-installed deep learning frameworks, GPU support, and integration with Google Cloud save a lot of configuration time and make it convenient to run machine learning workloads. Review collected by and hosted on G2.com.

The main drawback is that the setup can still feel complex for beginners, especially when choosing the right VM, GPU, drivers, and framework versions. Costs can also increase quickly if high-performance instances are left running longer than needed. Review collected by and hosted on G2.com.

The biggest advantage is that it removes most of the setup work. Instead of spending time installing frameworks, drivers, and dependencies, you can start working with a ready-to-use environment. It already includes the common machine learning libraries, which makes it much easier to experiment with models or run training jobs without worrying about configuration. Review collected by and hosted on G2.com.

The initial experience is straightforward, but managing costs requires attention if you leave VM instances running. Also, if you need very specific library versions or custom environments, you'll still end up doing some manual configuration. Better guidance for version compatibility would be useful. Review collected by and hosted on G2.com.

The VM images come with popular frameworks, libraries, and GPU support already configured, which saves a lot of time on environment setup. Review collected by and hosted on G2.com.

One thing I dislike is that the setup can sometimes feel complex for beginners, especially frameworks. Review collected by and hosted on G2.com.

The best part about Google Cloud Deep Learning VM Images is how much time they save on environment setup—you get a stable, pre-configured stack right out of the box. Having popular frameworks like PyTorch and TensorFlow ready to go, alongside JupyterLab, makes it incredibly easy to jump straight into training models without getting bogged down in installation and configuration. Review collected by and hosted on G2.com.

It is highly convenient for starting projects, but custom dependency management and zone resource limits require careful planning. Review collected by and hosted on G2.com.

Its very flexible and scalable

My team can standardise the version of image and easily reproduce them across different workflows

The already installed framework and libraries help get better results Review collected by and hosted on G2.com.

Nothing in particular so far

The image bloat causes delay usually Review collected by and hosted on G2.com.

It supports the predefined AI and ML frameworks like Tensor, Python. It reduces the time for manual setup and Dependency. Also it offers cloud services and GPU. Review collected by and hosted on G2.com.

It is overwhelming for beginners with large number of tools. Use of GPU instances can be expensive. Troubleshooting can be difficult for users at times. Review collected by and hosted on G2.com.

I like that it’s easy to set up and comes with the tools and drivers I need, so I can start working on ML projects quickly. Review collected by and hosted on G2.com.

The setup can be a bit costly, and sometimes updates or configuration can be confusing. Review collected by and hosted on G2.com.

The data it collects is stored to reflect each user and train them the way they learn as opposed to training the class as a whole Review collected by and hosted on G2.com.

It is not automatic and has to be opened like every other progran Review collected by and hosted on G2.com.

Google Cloud Deep Learning VM Image works great, no headache setup. Plug and Play. Review collected by and hosted on G2.com.

Doesn't work well offline and shutsdown quite often. Review collected by and hosted on G2.com.

The UI is clean, all necessary things are on the dashboard. I did one project for Car Plate Number Detection. The image scanning code was easy to implement and run. Review collected by and hosted on G2.com.

The integrations and latency is not that good. I would be able to do fast output if those were top notch. ROI is not up to the mark. Review collected by and hosted on G2.com.